Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

7 March 2022

Papers citing "Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models"

35 / 35 papers shown

Title
Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension Ning Wang Zekun Li Tongxin Bai Guoqi Li 27 0 0 05 Oct 2024
Propulsion: Steering LLM with Tiny Fine-Tuning Md. Kowsher Nusrat Jahan Prottasha Prakash Bhat 48 4 0 17 Sep 2024
UNLEARN Efficient Removal of Knowledge in Large Language Models Tyler Lizzo Larry Heck KELM MoMe MU 40 1 0 08 Aug 2024
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models Zihao Zeng Yibo Miao Hongcheng Gao Hao Zhang Zhijie Deng MoE 44 7 0 19 Jun 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 60 2 0 15 Jun 2024
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech Neemesh Yadav Sarah Masud Vikram Goyal Vikram Goyal Md. Shad Akhtar Tanmoy Chakraborty 28 3 0 06 Jun 2024
Mixture of LoRA Experts Xun Wu Shaohan Huang Furu Wei MoMe 40 52 0 21 Apr 2024
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models Songtao Jiang Yan Zhang Chenyi Zhou Yeying Jin Yang Feng Jian Wu Zuozhu Liu LRM VLM 50 4 0 06 Apr 2024
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models Tsendsuren Munkhdalai Youzheng Chen K. Sim Fadi Biadsy Tara N. Sainath P. M. Mengibar 24 1 0 25 Mar 2024
SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification Yuntao Gui Xiao Yan Peiqi Yin Han Yang James Cheng 40 2 0 16 Dec 2023
Learning From Mistakes Makes LLM Better Reasoner Shengnan An Zexiong Ma Zeqi Lin Nanning Zheng Jian-Guang Lou Weizhu Chen LRM 29 75 0 31 Oct 2023
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach Wen-li Yu Terence Jie Chua Junfeng Zhao 23 2 0 26 Oct 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing Terence Jie Chua Wen-li Yu Junfeng Zhao Kwok-Yan Lam FedML 26 5 0 26 Oct 2023
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers Junjie Yin Jiahao Dong Yingheng Wang Christopher De Sa Volodymyr Kuleshov MQ 23 4 0 28 Sep 2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models Yukang Chen Shengju Qian Haotian Tang Xin Lai Zhijian Liu Song Han Jiaya Jia 42 152 0 21 Sep 2023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang Qian Liu Bill Yuchen Lin Tianyu Pang Chao Du Min-Bin Lin MoMe 38 185 0 25 Jul 2023
Scaling In-Context Demonstrations with Structured Attention Tianle Cai Kaixuan Huang Jason D. Lee Mengdi Wang LRM 31 8 0 05 Jul 2023
Continual Learning with Pretrained Backbones by Tuning in the Input Space Simone Marullo Matteo Tiezzi Marco Gori S. Melacci Tinne Tuytelaars CLL 27 2 0 05 Jun 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning Shentao Yang Shujian Zhang Congying Xia Yihao Feng Caiming Xiong Mi Zhou 29 23 0 01 Jun 2023
QLoRA: Efficient Finetuning of Quantized LLMs Tim Dettmers Artidoro Pagnoni Ari Holtzman Luke Zettlemoyer ALM 41 2,342 0 23 May 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario Chengcheng Han Liqing Cui Renyu Zhu J. Wang Nuo Chen Qiushi Sun Xiang Li Ming Gao 33 7 0 17 May 2023
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives Qiushi Sun Chengcheng Han Nuo Chen Renyu Zhu Jing Gong Xiang Li Ming Gao VLM 27 8 0 14 May 2023
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models Michael Xieyang Liu Advait Sarkar Carina Negreanu B. Zorn Jack Williams N. Toronto Andrew D. Gordon 29 106 0 13 Apr 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang Kui Jia OOD 34 13 0 16 Mar 2023
How Does In-Context Learning Help Prompt Tuning? Simeng Sun Yang Liu Dan Iter Chenguang Zhu Mohit Iyyer VLM 38 17 0 22 Feb 2023
Guiding Large Language Models via Directional Stimulus Prompting Zekun Li Baolin Peng Pengcheng He Michel Galley Jianfeng Gao Xi Yan LLMAG LRM LM&Ro 40 94 0 22 Feb 2023
Zero-Label Prompt Selection Chonghua Liao Yanan Zheng Zhilin Yang VLM 8 6 0 09 Nov 2022
Unsupervised Non-transferable Text Classification Guangtao Zeng Wei Lu 30 6 0 23 Oct 2022
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation Tu Vu Aditya Barua Brian Lester Daniel Cer Mohit Iyyer Noah Constant CLL 21 64 0 25 May 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning Mingkai Deng Jianyu Wang Cheng-Ping Hsieh Yihan Wang Han Guo Tianmin Shu Meng Song Eric P. Xing Zhiting Hu 27 319 0 25 May 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Haokun Liu Derek Tam Mohammed Muqeeth Jay Mohta Tenghao Huang Joey Tianyi Zhou Colin Raffel 35 849 0 11 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 145 178 0 13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020